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3emcp-with-tcns

Temporal Convolutional Networks for the tertiary eye movement classification problem

adreno-gpu-opengl-es-code-sample-framework

This repository contains an OpenGL ES Framework designed to enable developers to get up and running quickly for creating sample content and rapid prototyping. It is designed to be easy to build and have the basic building blocks needed for creating an Android APK with OpenGL ES functionality, input system, as well as other helper utilities for load

albumentations

Fast image augmentation library and easy to use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about library: https://www.mdpi.com/2078-2489/11/2/125

animoji-animate

Facial-Landmarks Detection based animating application similar to Apple-Animoji™

attention_2d_unet

A customized 2D U-net implemented using attention module to emphasize on important channel and spatial information

awesome-domain-adaptation

A collection of AWESOME things about domian adaptation

blazepalm

PyTorch & CoreML implementation of MediaPipe Hands

camera-calibration

Common Pole-Polar Properties of Central Catadioptric Sphere and Line Images Used for Camera Calibration

cat_dog_classification

classification_models

Classification models trained on ImageNet. Keras.

control-3d-character-using-python

Controlling 3D character's Face Movements using OpenCV and pyhton

csam-u-net

This is the source code of paper 《CSAM U-Net: Multimodal Brain Tumor Segmentation Using Channel-Spatial Attention Module》

deep-learning-models

Keras code and weights files for popular deep learning models.

deeplabv3-plus

Tensorflow 2.3.0 implementation of DeepLabV3-Plus

deeplabv3-tf2.0

This project implements the SOTA image segmentation algorithm deeplab V3+ with tensorflow 2.0

deeplabv3plus_keras

Simplified Keras deeplabV3+ semantic segmentation model using Xception and MobileNetV2 as base models.

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deepvog

Pupil segmentation and gaze estimation using fully convolutional neural networks

detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

dogvscatcnn-classifier

Dog vs Cat classifier Flask app using Convolutional Neural Network with pretrained model MobileNetV2 from Keras. Model has 98% accuracy on both train and validation sets. Heroku app at https://dogvscat-mobilenet.herokuapp.com/

efficientnet

Implementation of EfficientNet model. Keras and TensorFlow Keras.

end2end_au_speech

Code for the paper "End-to-end Learning for 3D Facial Animation from Speech"

eye-segmentation-3rd-rank-winning-solution

It contains reproducible code for 3rd winner of OpenEDS 2021 Track 1 contest - The method is based on PointNet 2

facemesh.pytorch

This is the PyTorch implementation of paper Real-time Facial Surface Geometry from Monocular Video on Mobile GPUs (https://arxiv.org/pdf/1907.06724.pdf)

fast-scnn

Implementation of Fast-SCNN using Tensorflow 2.0

fastmaskrcnn

Mask RCNN in TensorFlow

gaze-estimation

hog-svm-python

ict-facekit

ICT's Vision and Graphics Lab's morphable face model and toolkit

interview

2021秋招 计算机视觉算法岗面经整理——包含实习和校招等 内推整理